Using the Indiana Network for Patient Care study administered by the Indiana Health Information Clearinghouse, Indiana University, and the Regenstriff Institute A database that will mine data from the state’s electronic health records to determine the prevalence of persistent COVID-19 symptoms and measure trends and outcomes.
Why is it important
Accurate, data-driven estimates can help clinicians better understand and treat Shaun Grannis, Regenstrief Vice President for Data and Analytics and Professor of Family Medicine, IU School of Medicine Dr. said a series of long-term COVID health conditions that occurred more than 4 weeks after the initial viral infection.
“Anecdotal information about long-term COVID abounds, but what we need is accurate, comprehensive scientific evidence, ‘” Granis said in a statement. “Our study will provide important information for public health, patients, and clinicians caring for long-term COVID patients.”
STUDY Personnel will also enroll children, adolescents and adults in the study to track the course of recent infections and help measure the burden and outcomes of COVID-19 patients.
These data can help identify the most affected groups and areas with a high burden of disease, and reveal where health disparities exist to address access to care Barriers to health care pave the way, said Dr. Brian Dixon, interim director of the Regenstriff Institute’s Center for Biomedical Informatics and professor of epidemiology at the Fairbanks School of Public Health.
This grant also supports future careers in Fairbank by developing skills in public health informatics and data science training for public health workers studying at the Sri Lanka School of Public Health.
major trend
Data research plays a key role in studying lingering symptoms of COVID-19.
COVID-19 members have conducted informatics assessments related to long-term COVID-19 and vaccine efficacy, timing of doses, etc. in the past two During the year, the Patient Recovery Alliance formed partnerships with other agencies, including the CDC.
Earlier this year, a team of researchers from the CDC and the Louisiana Institute of Public Health released a study, they examined pooled data on more than 2 million patients who were tested for COVID-19 between March and December 2020 and 31 days after testing.
These researchers rely on the National Patient-Centered Clinical Research Network, a nationwide research network that examines 42 health care symptoms and one Health conducts a COVID-19 surveillance program to compare symptoms and conditions and other variables such as age in patients with positive and negative test results.
They found certain disorders in patients across different age groups and care settings, but cautioned that further longitudinal Research will extend the need to better quantify long-term COVID outcomes from acute symptoms past six months.
Groundbreaking Data-Driven Discovery – Results Consortium and Arcadia Leavitt Partners released December 15 on a series of electronic An analysis of aggregated EHR data from systems of record shows that vaccination reduces the incidence and severity of long-term COVID symptoms.
Learning from data to find treatments and cures for long-term COVID symptoms is also critical to supporting a healthcare system that can be overwhelmed by patients, Former Assistant Secretary Dr. Brett Giroir, member of the Coalition for Health and Recovery of COVID Patients, said on the HIMSSCast show in February.
“This incredible set of information profiles can really be used top-down,” he said.
record on file
“What we’re learning from Indiana promises to lead to innovative approaches to monitoring and treating post-COVID conditions across the country,” Dixon said in a statement. Andrea Fox is a senior editor at Healthcare IT News.
Email: [email protected] Healthcare IT News is a HIMSS publication.
